Dataset Information

Clinician Job Searches in the Internet Era: Internet-Based Study.

ABSTRACT: BACKGROUND:Traditional methods using print media and commercial firms for clinician recruiting are often limited by cost, slow pace, and suboptimal results. An efficient and fiscally sound approach is needed for searching online to recruit clinicians. OBJECTIVE:The aim of the study was to assess the Web-based methods by which clinicians might be searching for jobs in a broad range of specialties and how academic medical centers can advertise clinical job openings to prominently appear on internet searches that would yield the greatest return on investment. METHODS:We used a search engine (Google) to identify 8 query terms for each of the specialties and specialists (eg, dermatology and dermatologist) to determine internet job search methodologies for 12 clinical disciplines. Searches were conducted, and the data used for analysis were the first 20 results. RESULTS:In total, 176 searches were conducted at varying times over the course of several months, and 3520 results were recorded. The following 4 types of websites appeared in the top 10 search results across all specialties searched, accounting for 52.27% (920/1760) of the results: (1) a single no-cost job aggregator (229/1760, 13.01%); (2) 2 prominent journal-based paid digital job listing services (157/1760, 8.92% and 91/1760, 5.17%, respectively); (3) a fee-based Web-based agency (137/1760, 7.78%) offering candidate profiles; and (4) society-based paid advertisements (totaling 306/1760, 17.38%). These sites accounted for 75.45% (664/880) of results limited to the top 5 results. Repetitive short-term testing yielded similar results with minor changes in the rank order. CONCLUSIONS:On the basis of our findings, we offer a specific financially prudent internet strategy for both clinicians searching the internet for employment and employers hiring clinicians in academic medical centers.

SUBMITTER: Gillum S

PROVIDER: S-EPMC6640069 | biostudies-other | 2019 Jul

REPOSITORIES: biostudies-other

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Clinician Job Searches in the Internet Era: Internet-Based Study.

Gillum Shalu S Williams Natasha N Brink Brittany B Ross Edward E

Journal of medical Internet research 20190705 7

<h4>Background</h4>Traditional methods using print media and commercial firms for clinician recruiting are often limited by cost, slow pace, and suboptimal results. An efficient and fiscally sound approach is needed for searching online to recruit clinicians.<h4>Objective</h4>The aim of the study was to assess the Web-based methods by which clinicians might be searching for jobs in a broad range of specialties and how academic medical centers can advertise clinical job openings to prominently ap ...[more]

PMID: 31278735

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Project description:BackgroundPrehospital delay is associated with non-modifiable factors such as age, residential region, and disease severity. However, the impact of psychosocial factors especially for job burnout on prehospital decision delay is still little understood.MethodThis internet-based survey was conducted between 14 February 2021 and 5 March 2021 in China through the Wechat platform and web page. Self-designed questionnaires about the expected and actual length of prehospital decision time and the Chinese version of Maslach Burnout Inventory-General Survey, Type D Personality Scale-14, and Social Support Rating Scale were applied. A total of 1,039 general participants with a history of perceptible but tolerable body discomfort were included.ResultsThe top six reasons for prehospital decision delay were: (1) endure until self-healing (50.7%), (2) too busy to ask for leave (40.3%), (3) process for seeing a doctor too complicated (35.8%), (4) too tired after work (26.2%), (5) worry about the expenditure (16.6%), and (6) fear of being identified as with serious problem (14.5%). The univariate analyses revealed that older age (p = 0.001), type D personality (p = 0.025), job burnout (p = 0.055), and worrying about expenditure (p = 0.004) were associated with prolonged prehospital decision time, while engaged in medical-related job (p = 0.028) and with more social support (p = 0.066) would shorten the delay. The multivariate analysis using logistic regression model with forward selecting method showed that age [per 10 years, odds ratio (OR) 1.19 (1.09-1.31), p < 0.001], job burnout [per 10 points in Maslach Burnout Inventory-General Survey (MBI-GS), OR 1.17 (1.04-1.31), p = 0.007], and worrying about expenditure [OR 1.75 (1.25-2.47), p = 0.001] were the three determinants for prehospital decision delay (>7 days). Mediating effects were analyzed by using bias-corrected percentile bootstrap methods (N = 10,000). Social support was found partially mediated the relationship between the determinants and prehospital decision time. The partial mediating effect of social support accounted for 24.0% of the total effect for job burnout and 11.6% for worrying about expenditure.ConclusionPsychosocial factors have a non-negligible impact on prehospital decision delay. The crucial part of prehospital decision delay may be the lack of motivation inside. Job burnout and lack of social support, as two commonly seen features in the modern world, should be given enough consideration in disease prevention and treatment.

Project description:BackgroundMedical professionals are at high risk of job stress and burnout. Research shows that work-related stress can be reduced through enhancing psychological resources, in particular, self-efficacy and perceived social support. These psychological resources can operate either individually or sequentially: in line with the cultivation hypothesis, self-efficacy precedes and cultivates perceived social support, whereas according to the enabling hypothesis it is perceived social support that comes first and enables self-efficacy. Based on this theoretical framework we developed an internet-based intervention, Med-Stress, dedicated to healthcare providers and aimed at reducing job stress and burnout. Med-Stress contains two modules that enhance self-efficacy and perceived social support, which are tested in four variants reflected in four study conditions. We expect that sequential enhancement of resources: self-efficacy and social support or social support and self-efficacy will yield larger posttest results than individual enhancement.MethodsIn this four-arm randomized controlled trial we will test four variants of the Med-Stress intervention. The trial is open for professionally active medical providers aged at least 18 years (N = 1200) with access to an Internet-connected device. We will compare the effects of two experimental conditions reflecting cultivation and enabling effects of self-efficacy and perceived social support (sequential enhancement of resources), and two active controls strengthening self-efficacy or perceived social support. Job stress and job burnout will be the primary outcomes, whereas depression, job-related traumatic stress, and work engagement will be secondary ones. Additionally, we will measure perceived social support, self-efficacy to manage job stress and burnout, and the ability to obtain social support, exposure to traumatic events, and users' expectancy and credibility of the intervention. All assessments will be applied before the intervention, at posttest (at 3 or 6 weeks depending on the study condition), and at 6-month and 12-month follow up. In the case of experimental groups, additional measurements will be taken after enhancing each resource.DiscussionResource-based interventions are relatively context-free and could potentially benefit medical professionals across the field. If Med-Stress is successful, its most effective variant could be implemented in the healthcare system as a standalone, supportive tool for employees.Trial registrationClinicalTrials.gov, NCT03475290 Registered on 23 March 2018.

Dataset Information

Clinician Job Searches in the Internet Era: Internet-Based Study.

Publications

Clinician Job Searches in the Internet Era: Internet-Based Study.

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